The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Intrusion detection using an ensemble of intelligent paradigms
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Citations
Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
A direct adaptive method for faster backpropagation learning: the RPROP algorithm
Riedmiller, M., & Braun, H. (2002) · IEEE International Conference on Neural Networks · doi:10.1109/icnn.1993.298623 · Cited by 3,917
Cited by
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
Buczak, A. L., & Guven, E. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2494502 · Cited by 3,332
Intrusion detection by machine learning: A review
Tsai, C.-F., Hsu, Y.-F., Lin, C.-Y., & Lin, W.-Y. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2009.05.029 · Cited by 969
The use of computational intelligence in intrusion detection systems: A review
Wu, S. X., & Banzhaf, W. (2010) · Applied Soft Computing · doi:10.1016/j.asoc.2009.06.019 · Cited by 696
TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System
Tama, B. A., Comuzzi, M., & Rhee, K.-H. (2019) · IEEE Access · doi:10.1109/access.2019.2928048 · Cited by 386
Artificial intelligence, cyber-threats and industry 4.0: challenges and opportunities
Bécue, A., Praça, I., & Gama, J. (2021) · Artificial Intelligence Review · doi:10.1007/s10462-020-09942-2 · Cited by 368
Metadata
- Authors
- Mukkamala, S., Sung, A. H., & Abraham, A.
- Venue
- Journal of Network and Computer Applications
- Publisher
- Elsevier BV
- Published
- 2005-04
- Volume
- 28
- Issue
- 2
- Pages
- 167-182
- ISSN
- 1084-8045 (ISSN-L)
- OpenAlex
- W2160598920
- Cited by
- 368
- References
- 2
- FWCI
- 12.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Mukkamala, S., Sung, A. H., & Abraham, A. (2005). Intrusion detection using an ensemble of intelligent paradigms. Journal of Network and Computer Applications. https://doi.org/10.1016/j.jnca.2004.01.003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
